Software Engineer - Backend

Alignerr Corp.

Seattle (WA)

Remote

USD 34,000 - 138,000

Full time

5 days ago
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Job summary

Labelbox is seeking a Backend SWE contractor for remote work in the United States. You will review AI-generated backend code across Node.js, Python, Java, or Go and craft robust server-side solutions.

You’ll communicate architectural choices clearly and flag edge cases to ensure scalable, reliable APIs. The role is fully remote with asynchronous collaboration, offering hourly pay and rolling start dates as projects begin.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 3–5 years of backend development experience or equivalent.
  • Experience with Node.js, Python, Java, or Go.
  • Familiarity with RESTful APIs, databases, and asynchronous programming.
  • Bonus: data labeling or AI training projects.

Responsibilities

  • Review and evaluate AI-generated backend code for correctness, efficiency, scalability, and clarity.
  • Write high-quality backend solutions for server-side and API development problems.
  • Create clear, developer-friendly explanations for architectural decisions and problem-solving strategies.
  • Identify and flag edge cases or ambiguities in problem statements or AI responses.

Skills

Backend development
Node.js
Python
Java
Go
RESTful APIs
Databases
Asynchronous programming

Education

Bachelor's degree in Computer Science
Master's or PhD preferred

Tools

Express
Django
Spring Boot
Microservices
Cloud platforms

Job description

Remote (UnitedStates preferred) Shape the data that powers frontier AI

SWE - Backend (Contract)

Labelbox

Remote (UnitedStates preferred) Shape the data that powers frontier AI

Quick facts
  • Engagement - Hourly, at‑will contractor
  • Schedule - Fully remote & asynchronous (min.15hrs/week)
  • Pay Range (US) - $25–$100 per hour
  • Start Date - Rolling — staffed as projects launch
What You’ll Do
  • Review and evaluate AI-generated backend code (e.g., Node.js, Python, Java, or Go) for correctness, efficiency, scalability, and clarity-
  • Write high-quality backend solutions to server-side and API development problems across varying difficulty levels
  • Create clear, developer-friendly explanations for architectural decisions, code logic, and problem-solving strategies
  • Identify and flag edge cases or ambiguities in problem statements or AI responses
You’re a great fit if
  • Fluent in English, with strong written communication skills and the ability to clearly explain backend coding concepts
  • Expertise in backend development: Deep familiarity with server-side languages and frameworks (e.g., Node.js, Python, Java, Go), RESTful APIs, databases, and asynchronous programming
  • 3–5 years of experience with backend frameworks, tools, or domains (e.g., Express, Django, Spring Boot, microservices, cloud platforms) is a plus
  • Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred, but not required.
  • Bonus: Experience with data labeling, RLHF, or other AI training projects
About The Role
  • Flexible workload — work from anywhere, on your own schedule
  • High impact — your craft directly improves models used by top AI labs & Fortune500 teams
  • Clear ownership — know exactly what success looks like and have autonomy to deliver
  • Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs
Interview process
  • Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
  • Domain-specific Zara interview to assess your backend expertise, including distributed systems, microservices, and backend frameworks.
About Labelbox

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, AndreessenHorowitz, BCapital, GradientVentures, DatabricksVentures, and KleinerPerkins, and trusted by leading research labs and enterprises worldwide.

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